Bibtex

@inbook{09e54b026d714d5892106f126a3a3b30,

title = "Judgments in the selection of path generation techniques: a meta-analytic approach",

abstract = "In the context of modeling route choice behavior, modelers generate objective choice sets by selecting a path generation technique and its parameters according to personal judgments. The current paper proposes an experimental setting and a methodological approach to provide indications about objective judgments for effective route choice set generation. Initially, path generation techniques are implemented within a synthetic network to generate possible subjective choice sets considered by travelers. Next, “true model estimates” and “postulated predicted routes” are assumed from the simulation of a route choice model. Then, objective choice sets are applied for model estimation and results are compared to the “true model estimates”. Last, predictions from the simulation of models estimated with objective choice sets are compared to the “postulated predicted routes”. Meta-analysis allows synthesizing the effect of judgments on the implementation of path generation techniques, since a large number of models generate a large amount of results that are otherwise difficult to summarize and to process. Meta-analysis estimates suggest that modelers should apply stochastic approaches with the possibility of correcting for unequal sampling probability while maintaining a fairly reasonable level of variance. Estimation of models would greatly improve and the issue of the coverage of observed behavior would not be raised because the correction would cover for adding alternatives not generated.",

author = "Prato, {Carlo Giacomo}",

year = "2012",

booktitle = "The 91st Annual Meeting of the Transportation Research Board, Washington,DC 2012",

}

RIS

TY - GEN

T1 - Judgments in the selection of path generation techniques: a meta-analytic approach

AU - Prato,Carlo Giacomo

PY - 2012

Y1 - 2012

N2 - In the context of modeling route choice behavior, modelers generate objective choice sets by selecting a path generation technique and its parameters according to personal judgments. The current paper proposes an experimental setting and a methodological approach to provide indications about objective judgments for effective route choice set generation.
Initially, path generation techniques are implemented within a synthetic network to generate possible subjective choice sets considered by travelers. Next, “true model estimates” and “postulated predicted routes” are assumed from the simulation of a route choice model. Then, objective choice sets are applied for model estimation and results are compared to the “true model estimates”. Last, predictions from the simulation of models estimated with objective choice sets are compared to the “postulated predicted routes”.
Meta-analysis allows synthesizing the effect of judgments on the implementation of path generation techniques, since a large number of models generate a large amount of results that are otherwise difficult to summarize and to process. Meta-analysis estimates suggest that modelers should apply stochastic approaches with the possibility of correcting for unequal sampling probability while maintaining a fairly reasonable level of variance. Estimation of models would greatly improve and the issue of the coverage of observed behavior would not be raised because the correction would cover for adding alternatives not generated.

AB - In the context of modeling route choice behavior, modelers generate objective choice sets by selecting a path generation technique and its parameters according to personal judgments. The current paper proposes an experimental setting and a methodological approach to provide indications about objective judgments for effective route choice set generation.
Initially, path generation techniques are implemented within a synthetic network to generate possible subjective choice sets considered by travelers. Next, “true model estimates” and “postulated predicted routes” are assumed from the simulation of a route choice model. Then, objective choice sets are applied for model estimation and results are compared to the “true model estimates”. Last, predictions from the simulation of models estimated with objective choice sets are compared to the “postulated predicted routes”.
Meta-analysis allows synthesizing the effect of judgments on the implementation of path generation techniques, since a large number of models generate a large amount of results that are otherwise difficult to summarize and to process. Meta-analysis estimates suggest that modelers should apply stochastic approaches with the possibility of correcting for unequal sampling probability while maintaining a fairly reasonable level of variance. Estimation of models would greatly improve and the issue of the coverage of observed behavior would not be raised because the correction would cover for adding alternatives not generated.

M3 - Article in proceedings

BT - The 91st Annual Meeting of the Transportation Research Board, Washington,DC 2012